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#Preference Optimization

YaPO: Learnable Sparse Activation Steering Vectors for Domain Adaptation

Abdelaziz Bounhar, Rania Hossam Elmohamady Elbadry et al.Jan 13arXiv

This paper introduces YaPO, a way to gently nudge a language model’s hidden thoughts so it behaves better without retraining it.

#Activation Steering#Sparse Autoencoder#Preference Optimization

DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs

Shidong Cao, Hongzhan Lin et al.Jan 7arXiv

DiffCoT treats a model’s step-by-step thinking (Chain-of-Thought) like a messy draft that can be cleaned up over time, not something fixed forever.

#Chain-of-Thought#Diffusion models#Autoregressive decoding